Developing Your Own GPT

Generative Pre-trained Transformers (GPT) have revolutionized the way AI applications are built and deployed, but customizing these models to fit specific needs unlocks their true potential. This course equips participants with the skills to fine-tune and deploy their own GPT models. From understanding the core functionality of GPT to preparing instructions, fine-tuning, testing, and deployment, this course offers a comprehensive guide to harnessing the power of custom AI.

Designed for developers, data scientists, and tech enthusiasts, the course combines theoretical knowledge with practical implementation. Through hands-on exercises, participants will learn to customize GPT models to address unique challenges and create solutions tailored to their organizational or personal needs.

Who should attend?

This training course is intended for:

• Developers interested in building custom AI solutions.
• Data scientists working with machine learning models.
• Tech enthusiasts eager to explore advanced AI capabilities.
• Product managers seeking a deeper understanding of custom GPT applications.
• Entrepreneurs and innovators looking to integrate AI into their products or services.

Learning objectives

Upon successful completion of this training course, the participants will be able to:

• Understand the functionality, architecture, and limitations of GPT models.
• Learn how to prepare datasets and instructions for fine-tuning GPT.
• Gain hands-on experience in testing and deploying custom GPT models.
• Develop the ability to troubleshoot and optimize GPT performance.
• Apply practical implementation techniques to create customized AI solutions.

Educational approach

The training course is participant centered and contains:

• Hands-on workshops for fine-tuning and deploying GPT models.
• Real-world case studies showcasing the application of custom GPTs.
• Focus on practical implementation, supplemented with foundational theory.
• Continuous learning resources provided to further explore GPT customization.

Prerequisites

There are no prerequisites to participate in this training course.

Course Agenda

1. Understanding GPT Functionality and Limitations
   1. Overview of GPT architecture and use cases.
   2. Exploring strengths and identifying limitations of GPT models.
2. Instructions Preparation and Fine-Tuning
   1. Preparing datasets and defining objectives for fine-tuning.
   2. Techniques for refining model behavior through instruction tuning.
3. Testing and Deployment
   1. Evaluating model performance and addressing errors.
   2. Deploying GPT models in different environments and applications.
4. Practical Implementation
   1. Hands-on project: Fine-tune and deploy a custom GPT model.
   2. Collaborative feedback and optimization techniques.

Certificate requirements

Upon successful completion of all course requirements, participants will receive a Certificate of Completion in “Developing Your Own GPT.”